FieldTrip

Using “newDs -anon”

To keep the dataset as it is, you should specify some options:

newDs -anon -includeBadChannels -includeBadSegments -includeBad <dataset> <savePath>". 

Otherwise, bad channels, bad segments (in the continuous data) and bad trials (in segmented data) will be thrown away.

Make sure the savePath has an unambiguous name, so that you don't mix up your data.

Fields that are blanked out: purpose, site, institute, operator name, run title and description, collection description. The subject ID is set to Anon-1. The collection date and time are changed to 11/11/1911, 11:11.

After creating the anonymous dataset, you should delete the defaults.de file that is present in the <savePath>, because that contains some information that can be traced back to the original file location on disk (which may include your name or the name of the subject).

It is advisable to also convert the headlocalizer datasets, which are inside the SubjectXX.ds and are named hz.ds, hz2.ds, etc.

An example use is (note that this should all be on a single line)

newDs -anon -includeBadChannels -includeBadSegments -includeBad /home/common/matlab/fieldtrip/data/Subject01.ds ~/anon/Subject01.ds

newDs -anon -includeBadChannels -includeBadSegments -includeBad /home/common/matlab/fieldtrip/data/Subject01.ds/hz.ds ~/anon/Subject01.ds/hz.ds

newDs -anon -includeBadChannels -includeBadSegments -includeBad /home/common/matlab/fieldtrip/data/Subject01.ds/hz2.ds ~/anon/Subject01.ds/hz2.ds

rm ~/anon/Subject01.ds/defaults.de
rm ~/anon/Subject01.ds/hz.ds/defaults.de
rm ~/anon/Subject01.ds/hz2.ds/defaults.de